Abstract
This paper presents a novel approach to the generalization of the concepts of grayscale morphology to color images. A new vector ordering scheme is proposed based on L*a*b* color space, and color erosion and dilation are defined, and the fundamental color morphological operations are proposed. The main advantages of the proposed vector ordering are that is compatible to the standard grayscale morphology when it is applied to grayscale images. In addition, it provides improved results in many morphological applications. Experimental results show that the proposed method is useful for color image processing, such as color image filtering.
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© 2013 Springer-Verlag London
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Tao, B., Zhang, L. (2013). Vector Mathematical Morphology for Color Image Processing. In: Du, W. (eds) Informatics and Management Science III. Lecture Notes in Electrical Engineering, vol 206. Springer, London. https://doi.org/10.1007/978-1-4471-4790-9_25
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DOI: https://doi.org/10.1007/978-1-4471-4790-9_25
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Online ISBN: 978-1-4471-4790-9
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